People ex rel. New York & Harlem Railroad v. Board of Taxes & Assessments
Cases that cite this one
3 later published cases cite this decision.
- Abrams v. Long Island Lighting Co. (Appellate Division of the Supreme Court of New York 1986)
- Bojaco Realty Corp. v. Board of Assessors (New York Supreme Court 1967)
- Alwalt Realty Corp. v. Boyland (New York Supreme Court 1957)
This list shows which later cases cite this one. It does not say how they treated it, and no review of that has been done. Not a substitute for Shepard’s or KeyCite — verify before relying.
Opinion of the Court
A common-law mandamus is addressed to the sound discretion of the Supreme Court, and when it appears that the facts are such as to justify the court in refusing mandamus as matter of discretion, this court will not attempt to review its action unless it affirmatively appears in the order denying the writ that the court did not refuse the application in the exercise of discretion. (People ex rel. D. L. I. Co. v. Jeroloman, 139 N. Y. 14; People ex rel. Jacobus v. Van Wyck, 157 N. Y. 495; People ex rel. Steinson v. Bd. of Education, 158 N. Y. 125; People ex rel. Rice v. Moss, 161 N. Y. 623.)
In this matter the situation as it was presented to the court not only justified, but seemed to call upon it to exercise its discretion in refusing relator the writ, because it had a specific legal remedy afforded by statute to which it could, and, therefore, should, resort for the enforcement of its right, for the rule is well settled that when the law provides an adequate remedy the writ of mandamus will not be awarded. (Wood on Mandamus [3d ed.], page 1, and authorities cited.)
Tha relator’s claim was that one of two assessments against it, appearing upon the assessment roll of the city of Mew York, was illegal; but by chapter 269 of the Laws of 1880
The appeal should be dismissed, with costs.
O’Brien, Bartlett, Haight, Martin, Yann and Landon; JJ., concur.
- Appeal dismissed.
Case-law data current through December 31, 2025. Source: CourtListener bulk data.